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20242026
most citedLayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding

4 citations · 4 across the 9 of their papers we have counts for

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cs.CV2025

A Simple yet Effective Layout Token in Large Language Models for Document Understanding

Zhaoqing Zhu, Chuwei Luo, Zirui Shao +4

Recent methods that integrate spatial layouts with text for document understanding in large language models (LLMs) have shown promising results. A commonly used method is to repres…

cs.CV2024

WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation

Zirui Shao, Feiyu Gao, Hangdi Xing +5

In the era of content creation revolution propelled by advancements in generative models, the field of web design remains unexplored despite its critical role in modern digital com…

cs.CV2024

ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data

Yufan Shen, Chuwei Luo, Zhaoqing Zhu +5

Recently, large language models (LLMs) and multimodal large language models (MLLMs) have demonstrated promising results on document visual question answering (VQA) task, particular…

cs.CV2024★ 4 cited

LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding

Chuwei Luo, Yufan Shen, Zhaoqing Zhu +3

Recently, leveraging large language models (LLMs) or multimodal large language models (MLLMs) for document understanding has been proven very promising. However, previous works tha…

cs.CV2024

LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training

Rujiao Long, Hangdi Xing, Zhibo Yang +4

Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations o…